Robust tracking-by-detection using a detector confidence particle filter

@article{Breitenstein2009RobustTU,
  title={Robust tracking-by-detection using a detector confidence particle filter},
  author={Michael D. Breitenstein and Fabian Reichlin and Bastian Leibe and Esther Koller-Meier and Luc Van Gool},
  journal={2009 IEEE 12th International Conference on Computer Vision},
  year={2009},
  pages={1515-1522}
}
We propose a novel approach for multi-person tracking-by-detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the continuous confidence of pedestrian detectors and online trained, instance-specific classifiers as a graded observation model. Thus, generic object category knowledge is complemented by instance-specific information. A main contribution of this paper is the exploration of how these unreliable information sources can be used… CONTINUE READING

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